Nonlinear optimization model and algorithm of urban curb parking setting scale

Mei Zhen-yu; Chen Jun; Wang Wei

Volume 7 Issue 2

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Mei Zhen-yu, Chen Jun, Wang Wei. Nonlinear optimization model and algorithm of urban curb parking setting scale[J]. Journal of Traffic and Transportation Engineering, 2007, 7(2): 89-93.

Citation:

Mei Zhen-yu, Chen Jun, Wang Wei. Nonlinear optimization model and algorithm of urban curb parking setting scale[J]. Journal of Traffic and Transportation Engineering, 2007, 7(2): 89-93.

Mei Zhen-yu, Chen Jun, Wang Wei. Nonlinear optimization model and algorithm of urban curb parking setting scale[J]. Journal of Traffic and Transportation Engineering, 2007, 7(2): 89-93.

Citation:

Mei Zhen-yu, Chen Jun, Wang Wei. Nonlinear optimization model and algorithm of urban curb parking setting scale[J]. Journal of Traffic and Transportation Engineering, 2007, 7(2): 89-93.

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Nonlinear optimization model and algorithm of urban curb parking setting scale

Mei Zhen-yu^{1, 2
,},
Chen Jun²,
Wang Wei²

1.
School of Civil Engineering, Zhejiang University, Hangzhou 310027, Zhejiang, China
2.
School of Transportation, Southeast University, Nanjing 210096, Jiangsu, China

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Author Bio:
Mei Zhen-yu(1979-), male, PhD, +86-571-87953210, meizhenyu2002@163.com
Received Date: 2006-10-18
Publish Date: 2007-04-25

Abstract

Abstract

In order to form the proper matching relationship between curb parking and off-street parking, decrease parking cost, the matching relationship was analyzed, the parking choice behaviors of drivers were studied, the social costs of curb parking and road vehicle travelling were analyzed separately, the effect of curb parking on traffic delay, the circuitous distance, charge balance and individual time benefit of parking were considered synthetically, an optimization model of urban curb parking setting scale based on minimizing parking cost was put forward, and an inner-spot algorithm of the model was designed.Calculation result shows that the average parking circuitous distance of travelling vehicle and whole parking cost are decreased by 63.0% and 37.3% respectively.It is obvious that the optimization model can optimize the matching relationship between curb parking and off-street parking, and minimize parking system integrated cost.
- traffic planning,
- curb parking,
- matching relationship,
- nonlinear optimization,
- inner-spot algorithm

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References(10)

References

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